Stanford CS224W: ML with Graphs | 2021 | Lecture 15.1 - Deep Generative Models for Graphs
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Stanford CS224W: ML with Graphs | 2021 | Lecture 15.2 - Graph RNN: Generating Realistic Graphs
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Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 8.1 - Graph Augmentation for GNNs
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MIT 6.S191: Deep Generative Modeling
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Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 14.1 - Generative Models for Graphs
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Stanford CS224W: ML with Graphs | 2021 | Lecture 13.4 - Detecting Overlapping Communities
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Deep Graph Generative Models (Stanford University - 2019)
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DiGress: Discrete Denoising Diffusion for Graph Generation | Clément Vignac
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